Translation components API.

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GET /api/translations/libo_ui-master/nlpsolverhelpencomsunstarcompcalcnlpsolver/cs/units/?format=api
HTTP 200 OK
Allow: GET, POST, HEAD, OPTIONS
Content-Type: application/json
Vary: Accept

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                "<bookmark_value>Solver for Nonlinear Problems;Options</bookmark_value>"
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                "… defines the number of individuals to participate in the learning process. Each individual finds its own solutions and contributes to the overall knowledge."
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                "If enabled (default), the algorithm tries to find variable bounds by looking at the starting values."
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                "Variable Bounds Threshold"
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                "Práh mezí proměnných"
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                "When guessing variable bounds, this threshold specifies, how the initial values are shifted to build the bounds. For an example how these values are calculated, please refer to the Manual in the Wiki."
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                "Tento práh určuje, jak jsou počáteční hodnoty posunuty při odhadu mezí proměnných. Příklad, jak se počítají tyto hodnoty, naleznete v příručce na Wiki."
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                "If <emph>disabled</emph> (default), the BCH Comparator is used. It compares two individuals by first looking at their constraint violations and only if those are equal, it measures their current solution."
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                "If <emph>enabled</emph>, the ACR Comparator is used. It compares two individuals dependent on the current iteration and measures their goodness with knowledge about the libraries worst known solutions (in regard to their constraint violations)."
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                "Pokud <emph>povoleno</emph>, je použit ACR komparátor. Porovnává dva jedince v závislosti na aktuální iteraci a poměřuje jejich správnost s využitím znalostí o nejhorších známých řešeních z knihovny (vzhledem k jejich porušení omezení)."
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                "If <emph>enabled</emph>, the library is simply filled up with randomly chosen points."
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                "There is also a list of constraints you can use to restrict the possible range of solutions or to penalize certain conditions. However, in case of the evolutionary solvers DEPS and SCO, these constraints are also used to specify bounds on the variables of the problem. Due to the random nature of the algorithms, it is <emph>highly recommended</emph> to do so and give upper (and in case \"Assume Non-Negative Variables\" is turned off also lower) bounds for all variables. They don't have to be near the actual solution (which is probably unknown) but should give a rough indication of the expected size (0 ≤ var ≤ 1 or maybe -1000000 ≤ var ≤ 1000000)."
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